From 86f711b1bf7a19886d6743686e0e401a1659c800 Mon Sep 17 00:00:00 2001 From: tvalentyn Date: Mon, 27 Nov 2023 19:34:49 -0800 Subject: [PATCH] Don't pin an older commit in the documentation. (#29540) --- .../documentation/transforms/python/elementwise/mltransform.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/www/site/content/en/documentation/transforms/python/elementwise/mltransform.md b/website/www/site/content/en/documentation/transforms/python/elementwise/mltransform.md index 964d90f1510b..2eaecbd5a9bc 100644 --- a/website/www/site/content/en/documentation/transforms/python/elementwise/mltransform.md +++ b/website/www/site/content/en/documentation/transforms/python/elementwise/mltransform.md @@ -32,7 +32,7 @@ limitations under the License. Use `MLTransform` to apply common machine learning (ML) processing tasks on keyed data. Apache Beam provides ML data processing transformations that you can use with `MLTransform`. For the full list of available data -processing transformations, see the [tft.py file](https://github.com/apache/beam/blob/ab93fb1988051baac6c3b9dd1031f4d68bd9a149/sdks/python/apache_beam/ml/transforms/tft.py#L52) in GitHub. +processing transformations, see the [tft.py file](https://github.com/apache/beam/blob/master/sdks/python/apache_beam/ml/transforms/tft.py#L52) in GitHub. To define a data processing transformation by using `MLTransform`, create instances of data processing transforms with `columns` as input parameters. The data in the specified `columns` is transformed and outputted to the `beam.Row` object.